Published in Nature · View the paper (DOI)
Yale researchers developed a new approach to track COVID-19's spread by leveraging real-time population flow data, demonstrating its effectiveness in forecasting the outbreak and identifying high-risk areas. The model accurately predicted subsequent COVID-19 infections across China and corroborated official case counts.
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